Literature DB >> 22160260

Relationship between protein folding kinetics and amino acid properties.

Jitao T Huang1, Dajie J Xing, Wei Huang.   

Abstract

The successful prediction of protein-folding rates based on the sequence-predicted secondary structure suggests that the folding rates might be predicted from sequence alone. To pursue this question, we directly predict the folding rates from amino acid sequences, which do not require any information on secondary or tertiary structure. Our work achieves 88% correlation with folding rates determined experimentally for proteins of all folding types and peptide, suggesting that almost all of the information needed to specify a protein's folding kinetics and mechanism is comprised within its amino acid sequence. The influence of residue on folding rate is related to amino acid properties. Hydrophobic character of amino acids may be an important determinant of folding kinetics, whereas other properties, size, flexibility, polarity and isoelectric point, of amino acids have contributed little to the folding rate constant.

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Year:  2011        PMID: 22160260     DOI: 10.1007/s00726-011-1189-3

Source DB:  PubMed          Journal:  Amino Acids        ISSN: 0939-4451            Impact factor:   3.520


  4 in total

1.  A comprehensive database of verified experimental data on protein folding kinetics.

Authors:  Amy S Wagaman; Aaron Coburn; Itai Brand-Thomas; Barnali Dash; Sheila S Jaswal
Journal:  Protein Sci       Date:  2014-10-14       Impact factor: 6.725

2.  PFDB: A standardized protein folding database with temperature correction.

Authors:  Balachandran Manavalan; Kunihiro Kuwajima; Jooyoung Lee
Journal:  Sci Rep       Date:  2019-02-07       Impact factor: 4.379

3.  Sequence analysis on the information of folding initiation segments in ferredoxin-like fold proteins.

Authors:  Masanari Matsuoka; Takeshi Kikuchi
Journal:  BMC Struct Biol       Date:  2014-05-23

4.  Network measures for protein folding state discrimination.

Authors:  Giulia Menichetti; Piero Fariselli; Daniel Remondini
Journal:  Sci Rep       Date:  2016-07-28       Impact factor: 4.379

  4 in total

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